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As enterprises continue to pilot generative AI projects, many are finding the cost of rolling out the tech in their own data centers can be prohibitive. ISVs like Amazon see a future in offering those AI instances over the web.
Enterprises are rapidly adopting genAI to increase productivity and efficiency, but many are not taking a strategic approach implementing the technology. Because of that, many projects fail or end up costing far more than they should, without an ROI.
Meetings waste time, destroy solitary deep work and make a mockery of flex work and a globally distributed workforces.
Mustafa Suleyman will be executive vice president and CEO of Microsoft AI and report directly to CEO Satya Nadella.
Wall Street’s obsession with quarterly earnings has made it extraordinarily difficult for most enterprises to spend on long-term investments, or even mid-term investments.
The number of companies experimenting with the automation capabilities of generative AI platforms is expected to double. But do the hoped-for financial returns justify the high costs of the technology?
Or is the trend to remote work here to stay — and perhaps even expand over time?
Organisations that want to adopt a fast-track approach to innovation must take care of the fundamentals: resilient networks, flexible collaboration tools and powerful security solutions.
Expanding your workers’ tech skills increases their engagement and performance while boosting the company’s innovation and competitiveness.
Thomson Reuters spent years building an AI platform to cull through massive troves of data and documents for its legal, global trade and compliance clients. But when generative AI came along, the company was forced to up its game.
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